{"id":"W3111184799","doi":"10.1016/s2152-2650(20)30965-4","title":"MDS-107: MDS Patients' Needs from Online Discussion Forums: An Artificial Intelligence and Natural Language Processing Analysis of 20,000 Posts in US, UK, Canada, and China","year":2020,"lang":"en","type":"article","venue":"Clinical Lymphoma Myeloma & Leukemia","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Conversation; Context (archaeology); Psychology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007127479,0.0003323222,0.0003327207,0.003069038,0.001183914,0.0009191166,0.0005322998,0.0005645765,0.002478791],"category_scores_gemma":[0.003780663,0.0001241767,0.0003104349,0.003526287,0.0003113965,0.0008036363,0.001079082,0.0004868887,0.0007203707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002589819,"about_ca_system_score_gemma":0.002841072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2781802,"about_ca_topic_score_gemma":0.4201735,"domain_scores_codex":[0.9994872,0.00009382749,0.00005238483,0.00006599556,0.0001452766,0.0001553783],"domain_scores_gemma":[0.9958887,0.001560359,0.000717653,0.000118042,0.0008248638,0.000890466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003384346,0.0002417809,0.9681856,0.0001373992,0.00006073229,0.0003354277,0.006871761,0.0002607609,0.001000498,0.0001810396,0.006764489,0.01562201],"study_design_scores_gemma":[0.00001047118,0.0000466473,0.9848658,0.00001869384,0.00003124765,0.0001014043,0.01041695,0.001234975,0.0002802017,0.00004959489,0.002929829,0.00001408998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901646,0.00006042712,0.0000657526,0.0001287952,0.000006487735,0.00003779132,0.008802091,0.00002021811,0.0007138072],"genre_scores_gemma":[0.9823497,0.00008270682,0.0004023011,0.00005905933,0.00002100614,0.00009520821,0.01506536,0.0000118569,0.001912889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7218199,"threshold_uncertainty_score":0.5531219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409909295942279,"score_gpt":0.3240663279339318,"score_spread":0.2999672349745089,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}